Shivangi Mehta

A hybrid Fuzzy-Autoencoder based approach for resilient zero-day malware detection under adversarial conditions

This work analyzes the robustness of OC malware detection approaches and demonstrates that conventional autoencoder (AE)-based detectors are highly dependent on rigid reconstruction-error thresholds, making them vulnerable to adversarial attacks, and proposes a Fuzzy-Autoencoder (Fuzzy-AE) based approach.